-
3
-
-
2942571128
-
The Canadian Adverse Outcomes Study: The incidence of adverse outcomes among hospital patients in Canada
-
Baker GR, Norton PG, Flintoft V et al. The Canadian Adverse Outcomes Study: The incidence of adverse outcomes among hospital patients in Canada. CAMJ 2004; 170: 1678-1686.
-
(2004)
CAMJ
, vol.170
, pp. 1678-1686
-
-
Baker, G.R.1
Norton, P.G.2
Flintoft, V.3
-
4
-
-
18844483083
-
Adverse outcomes in New Zealand public hospitals I: Occurrence and impact
-
Davis P, Lay-Yee R, Briant R et al. Adverse outcomes in New Zealand public hospitals I: Occurrence and impact. N Z Med J 2002; 115: U271.
-
(2002)
N Z Med J
, vol.115
-
-
Davis, P.1
Lay-Yee, R.2
Briant, R.3
-
5
-
-
0035799063
-
Adverse outcomes in British hospitals: Preliminary retrospective record review
-
Vincent C, Neale G, Woloshynowych M. Adverse outcomes in British hospitals: Preliminary retrospective record review. Br Med J 2001; 322: 517-519.
-
(2001)
Br Med J
, vol.322
, pp. 517-519
-
-
Vincent, C.1
Neale, G.2
Woloshynowych, M.3
-
6
-
-
0040156433
-
Incidence of adverse outcomes in hospitalized patients: The Danish Adverse Outcome Study (DAES)
-
Schiøler T, Lipczak H, Pedersen BL et al. Incidence of adverse outcomes in hospitalized patients: The Danish Adverse Outcome Study (DAES). Ugeskr Læger 2001; 163: 5370-5378.
-
(2001)
Ugeskr Læger
, vol.163
, pp. 5370-5378
-
-
Schiøler, T.1
Lipczak, H.2
Pedersen, B.L.3
-
7
-
-
0742287193
-
Comparison of three methods for estimating rates of adverse outcomes and rates of proutcomeable adverse outcomes in acute care hospitals
-
Michel P, Quenon JL, de Sarasqueta AM et al. Comparison of three methods for estimating rates of adverse outcomes and rates of proutcomeable adverse outcomes in acute care hospitals. Br Med J 2004; 328: 199.
-
(2004)
Br Med J
, vol.328
, pp. 199
-
-
Michel, P.1
Quenon, J.L.2
de Sarasqueta, A.M.3
-
8
-
-
0141922804
-
Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization
-
Zhan C, Miller MR. Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization. JAMA 2003; 290: 1868-1874.
-
(2003)
JAMA
, vol.290
, pp. 1868-1874
-
-
Zhan, C.1
Miller, M.R.2
-
9
-
-
0029384423
-
The incident reporting system does not detect adverse drug outcomes: A problem for quality improvement
-
Cullen DJ, Bates DW, Small SD et al. The incident reporting system does not detect adverse drug outcomes: A problem for quality improvement. Jt Comm J Qual Improv 1995; 21: 541-548.
-
(1995)
Jt Comm J Qual Improv
, vol.21
, pp. 541-548
-
-
Cullen, D.J.1
Bates, D.W.2
Small, S.D.3
-
10
-
-
0346390717
-
Measuring hospital quality: Can medicare data substitute for all-payer data?
-
Needleman J, Buerhaus PI, Mattke S et al. Measuring hospital quality: can medicare data substitute for all-payer data? Health Serv Res 2003; 38: 1487-1508.
-
(2003)
Health Serv Res
, vol.38
, pp. 1487-1508
-
-
Needleman, J.1
Buerhaus, P.I.2
Mattke, S.3
-
11
-
-
0028471465
-
Identifying complications of care using administrative data
-
Iezzoni LI, Daley J, Heeren T et al. Identifying complications of care using administrative data. Med Care 1994; 32: 700-715.
-
(1994)
Med Care
, vol.32
, pp. 700-715
-
-
Iezzoni, L.I.1
Daley, J.2
Heeren, T.3
-
12
-
-
0037361826
-
A national profile of patient safety in U.S. hospitals
-
Romano PS, Geppert JJ, Davies S et al. A national profile of patient safety in U.S. hospitals. Health Aff 2003; 22: 154-166.
-
(2003)
Health Aff
, vol.22
, pp. 154-166
-
-
Romano, P.S.1
Geppert, J.J.2
Davies, S.3
-
13
-
-
0034244668
-
Use of administrative data to find substandard care: Validation of the complications screening program
-
Weingart SN, Iezzoni LI, Davis RB et al. Use of administrative data to find substandard care: Validation of the complications screening program. Med Care 2000; 38 (8): 796-806.
-
(2000)
Med Care
, vol.38
, Issue.8
, pp. 796-806
-
-
Weingart, S.N.1
Iezzoni, L.I.2
Davis, R.B.3
-
14
-
-
1842832810
-
Distinguishing hospital complications of care from pre-existing conditions
-
Naessens JM, Huschka TR. Distinguishing hospital complications of care from pre-existing conditions. Int J Qual Health Care 2004; 16 (suppl. 1): I27-i35.
-
(2004)
Int J Qual Health Care
, vol.16
, Issue.SUPPL. 1
-
-
Naessens, J.M.1
Huschka, T.R.2
-
17
-
-
0037198432
-
Nurse-staffing levels and the quality of care in hospitals
-
Needleman J, Buerhaus P, Mattke S et al. Nurse-staffing levels and the quality of care in hospitals. N Engl J Med 2002; 346: 1715-1722.
-
(2002)
N Engl J Med
, vol.346
, pp. 1715-1722
-
-
Needleman, J.1
Buerhaus, P.2
Mattke, S.3
-
21
-
-
0030666228
-
The risks of risk adjustment
-
Iezzoni LI. The risks of risk adjustment. JAMA 1997; 278: 1600-1607.
-
(1997)
JAMA
, vol.278
, pp. 1600-1607
-
-
Iezzoni, L.I.1
-
22
-
-
0034090810
-
Risk-adjusting acute myocardial infarction mortality: Are APR-DRGs the right tool?
-
Romano PS, Chan BK. Risk-adjusting acute myocardial infarction mortality: Are APR-DRGs the right tool? Health Serv Res 2000; 34: 1469-1489.
-
(2000)
Health Serv Res
, vol.34
, pp. 1469-1489
-
-
Romano, P.S.1
Chan, B.K.2
-
23
-
-
0029910569
-
Judging hospitals by severity-adjusted mortality rates: The influence of the severity-adjustment method
-
Iezzoni LI, Ash AS, Shwartz M et al. Judging hospitals by severity-adjusted mortality rates: The influence of the severity-adjustment method. Am J Public Health 1996; 86: 1379-1387.
-
(1996)
Am J Public Health
, vol.86
, pp. 1379-1387
-
-
Iezzoni, L.I.1
Ash, A.S.2
Shwartz, M.3
-
24
-
-
0031612470
-
Predicting in-hospital deaths from coronary artery bypass graft surgery. Do different severity measures give different predictions?
-
Iezzoni LI, Ash AS, Shwartz M et al. Predicting in-hospital deaths from coronary artery bypass graft surgery. Do different severity measures give different predictions? Med Care 1998; 36: 28-39.
-
(1998)
Med Care
, vol.36
, pp. 28-39
-
-
Iezzoni, L.I.1
Ash, A.S.2
Shwartz, M.3
-
25
-
-
0003877646
-
-
third edition. Hoboken, NJ: John Wiley & Sons, Inc
-
Fleiss JL, Levin B, Cho Paik M. Statistical Methods for Rates and Proportions, third edition. Hoboken, NJ: John Wiley & Sons, Inc., 2003.
-
(2003)
Statistical Methods for Rates and Proportions
-
-
Fleiss, J.L.1
Levin, B.2
Cho Paik, M.3
-
28
-
-
1842832809
-
Using indicators to quantify the potential to improve the quality of health care
-
Gibberd R, Hancock S, Howley P, Richards K. Using indicators to quantify the potential to improve the quality of health care. Int J Qual Health Care 2004; 16 (suppl. 1): I67-i43.
-
(2004)
Int J Qual Health Care
, vol.16
, Issue.SUPPL. 1
-
-
Gibberd, R.1
Hancock, S.2
Howley, P.3
Richards, K.4
-
29
-
-
0025924692
-
Incidence of adverse outcomes and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I
-
Brennan TA, Leape LL, Laird NM et al. Incidence of adverse outcomes and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. N Engl J Med 1991; 324: 370-376.
-
(1991)
N Engl J Med
, vol.324
, pp. 370-376
-
-
Brennan, T.A.1
Leape, L.L.2
Laird, N.M.3
-
31
-
-
0025736742
-
Hospital characteristics associated with adverse outcomes and substandard care
-
Brennan TA, Hebert LE, Laird NM et al. Hospital characteristics associated with adverse outcomes and substandard care. JAMA 1991; 265: 3265-3269.
-
(1991)
JAMA
, vol.265
, pp. 3265-3269
-
-
Brennan, T.A.1
Hebert, L.E.2
Laird, N.M.3
-
32
-
-
0027991482
-
Bias in the coding of hospital discharge data and its implications for quality assessment
-
Romano PS, Mark DH. Bias in the coding of hospital discharge data and its implications for quality assessment. Med Care 1994; 32: 81-90.
-
(1994)
Med Care
, vol.32
, pp. 81-90
-
-
Romano, P.S.1
Mark, D.H.2
-
33
-
-
0019888188
-
DRG creep: A new hospital-acquired disease
-
Simborg DW. DRG creep: A new hospital-acquired disease. N Engl J Med 1981; 304: 1602-1604.
-
(1981)
N Engl J Med
, vol.304
, pp. 1602-1604
-
-
Simborg, D.W.1
-
35
-
-
1442306464
-
Evaluating the role of patient sample definitions for quality indicators sensitive to nurse staffing patterns
-
Mattke S, Needleman J, Buerhaus P et al. Evaluating the role of patient sample definitions for quality indicators sensitive to nurse staffing patterns. Med Care 2004; 42: 1121-1133.
-
(2004)
Med Care
, vol.42
, pp. 1121-1133
-
-
Mattke, S.1
Needleman, J.2
Buerhaus, P.3
|